Tag: Hardware

Blackwell

NVIDIA Blackwell Platform Arrives to Power a New Era of Computing

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) — Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models…

Read More
AI Face

$15.3M Awarded To California-Pacific-Northwest AI Hardware Hub By The DOD Microelectronics Commons

Stanford will co-lead one of eight new Microelectronics Commons regional innovation hubs in an effort to accelerate new semiconductor technologies. Stanford University, along with the University of California, Berkeley, will lead the California-Pacific-Northwest AI Hardware Microelectronics Commons Hub (Northwest AI Hub),…

Read More
Robotic Hand | Lights

Nvidia H100 Tensor Core GPUs Come To Oracle Cloud

Oracle Cloud now offers bare-metal instances with Nvidia H100 GPUs for AI training and inference and high-performance computing applications. Nvidia L40S GPUs are on the way. In response to growing demand for generative AI applications and large language models (LLM), Oracle Cloud Infrastructure (OCI) has made…

Read More
Internet of Things

OpenHW Group Announces Tape Out of RISC-V-Based CORE-V MCU Development Kit for IoT Built with Open-Source Hardware & Software

OTTAWA, Canada – August 16, 2023 – OpenHW Group today announced that the industry’s most comprehensive Development Kit for an open-source RISC-V MCU is now available to be ordered. The OpenHW CORE-V MCU DevKit includes an open-source printed circuit board (PCB) which integrates…

Read More
mosaicml-amd-mi250-00

Training LLMs With AMD MI250 GPUs And MosaicML

With the release of PyTorch 2.0 and ROCm 5.4, we are excited to announce that LLM training works out of the box on AMD MI250 accelerators with zero code changes and at high performance! At MosaicML, we’ve searched high and low…

Read More
ai-architecture-pexels-scott-webb-2346596

The Technical Architecture And Components Of A.I. Systems

An effective AI system relies on various technical, infrastructure, network, storage, compute, and service architecture components working together. Here are some of the key components. Hardware. – CPUs (Central Processing Units): General-purpose processors that can handle a variety of tasks, including…

Read More
Apple-WWDC23-Mac-Pro-M2-Ultra-Mac-Studio-M2-Max-M2-Ultra-230605_c

Apple Unveils New Mac Studio And Brings Apple Silicon To Mac Pro

With M2 Max and the new M2 Ultra, Mac Studio is a performance powerhouse in a compact design, while the new Mac Pro combines the incredibly powerful M2 Ultra with PCIe expansion and completes the Mac transition to Apple silicon CUPERTINO,…

Read More
tpu-v4-enables-performance-energy-and-co2e-efficiency-gains-00_c

Google’s Cloud TPU V4 Provides Exaflops-Scale ML With Industry-Leading Efficiency

Editor’s note: Today, two legendary Google engineers describe the “secret sauce” that has made TPU v4 a platform of choice for the world’s leading AI researchers and developers for training machine learning models at scale. Norm Jouppi is the chief architect…

Read More
ibm

The Future Of Analog AI Hardware

New research from IBM presented at this year’s IEDM conference shows that a future where we can train and run AI systems on energy-efficient analog hardware is on the horizon. New research from IBM presented at this year’s IEDM conference shows…

Read More